4 дня назад
Director, Business Intelligence (Data and Analytics) - Hybrid
137 900 - 246 350$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Business Intelligence (Data and Analytics) - Hybrid (Data Science, Analytics, AI): Leading data science, analytics, and AI capabilities across products and platforms with an accent on enterprise-scale production systems, data quality, explainability, and regulatory readiness. Focus on defining data and AI strategy, enabling reusable analytics platforms and APIs, and building senior data science leadership.
Location: Hybrid; minimum of eight days per month in the office in Dallas, TX, Minneapolis, MN, or New York, NY, USA. Travel is minimal, up to 10%. Applicants may be required to appear onsite for interviews.
Compensation: $137,900–$246,350 USD annually, plus bonus eligibility.
Company
is the employer for this data and analytics leadership organization.
What you will do
- Own the data and analytics strategy across applied machine learning, analytics, and generative AI.
- Provide scientific and technical leadership for production data science systems operating at enterprise scale.
- Govern the quality, integrity, explainability, traceability, validation, and audit readiness of data and AI outputs.
- Enable reusable analytics, AI platforms, APIs, and strategic partner integrations for product differentiation and data monetization.
- Partner with Product, Engineering, IT, and business leaders to align data science outcomes with business and compliance priorities.
- Build, mentor, and scale senior data science talent and technical leadership.
Requirements
- Extensive experience in data science, analytics, or applied AI, including senior leadership roles.
- Experience leading large-scale production products or systems in complex environments.
- Experience applying data science in regulated, compliance-driven, or high-stakes business contexts.
- Ability to define and execute enterprise-scale data science or AI strategies and translate strategy into scalable delivery.
- Bachelor’s degree in engineering, data science, mathematics, or a related field.
- 15+ years of progressive leadership experience in data science, analytics, or AI-enabled organizations.
Nice to have
- Advanced degree, including an MBA.
Culture & Benefits
- Hybrid work model with regular office attendance.
- Medical, dental, and vision plans.
- 401(k), FSA/HSA, and commuter benefits.
- Tuition assistance, vacation and sick time, and paid parental leave.
- Bonus eligibility.
Hiring process
- Interviews assess individual skills, experience, and communication without AI tools or external prompts.
- In-person interviews may be included, and AI-generated responses or third-party interview support may result in disqualification.
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